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01:15:45 Advanced Machine Learning 2022 - day 16 Recurrent… Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks	Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks Recurrent neural networks; Jordan Networks; Elman Networks; SimpleRNN output layer network step outputs things point parameters examples input goal bit signal monkey error inputs sort scenario units timestep From Andrew Fagg 0 likes 3 plays 0
34:57 Advanced Machine Learning 2022 - day 08… Advanced Machine Learning 2022 - day 08 Supplemental HW1 Code	Advanced Machine Learning 2022 - day 08 Supplemental HW1 Code Experiment control code for HW1; Cross-Validation with variations in training set size. training folds bit validation arguments rotation dataset things function parameter homework command shoulder thing dictionary error experiment model outputs exp From Andrew Fagg 0 likes 1 plays 0
01:17:33 Advanced Machine Learning 2022 - day 07 Deep… Advanced Machine Learning 2022 - day 07 Deep Learning on the Supercomputer	Advanced Machine Learning 2022 - day 07 Deep Learning on the Supercomputer OSCER Supercomputer, SLURM, batch files directory things job batch files experiment bit experiments questions supercomputer dot machine error jobs gpu environment node sh compute lots From Andrew Fagg 0 likes 4 plays 0
01:16:55 Advanced Machine Learning 2022 - day 05 First… Advanced Machine Learning 2022 - day 05 First Learning Experiment	Advanced Machine Learning 2022 - day 05 First Learning Experiment Using Jupyter Lab, Building an XOR network layer input units output things point model error network inputs gradient bit direction step parameters pattern function gpu thing epoch From Andrew Fagg 0 likes 19 plays 0
01:15:50 Advanced Machine Learning 2022 - day 03 Advanced Machine Learning 2022 - day 03	Advanced Machine Learning 2022 - day 03 Computing error gradients with a single computing element layer questions derivative function respect output error term units summation sum things process slope side input gradient learning point derivatives From Andrew Fagg 0 likes 11 plays 0
01:15:50 AME 3623 - Day 23 AME 3623 - Day 23	AME 3623 - Day 23 vchr3051 bit character things buffer bits degrees digit goal function device questions digits craft bytes error cereal byte thing calibration imu From Andrew Fagg 0 likes 47 plays 0
51:57 AME 3623 - Day 22 AME 3623 - Day 22	AME 3623 - Day 22 PD control. Serial communication vchr3051 theta control torque craft goal error bit range orientation things direction degrees questions fan band values communication laser devices function From Andrew Fagg 0 likes 31 plays 0
01:11:29 Advanced Machine Learning - Day 16 Advanced Machine Learning - Day 16	Advanced Machine Learning - Day 16 Recurrent Neural Networks vchr3051 output input model network inputs layer tensor parameters outputs inception images image things training module problem bit tensors error process From Andrew Fagg 0 likes 38 plays 0
01:18:47 Advanced Machine Learning - Day 4 Advanced Machine Learning - Day 4	Advanced Machine Learning - Day 4 Backpropagation derivation. vchr3051 layer unit error question output derivative respect input term function units thing influence sum network dx neurons questions bit weights From Andrew Fagg 0 likes 24 plays 0
01:17:20 Advanced Machine Learning - Day 3 Advanced Machine Learning - Day 3	Advanced Machine Learning - Day 3 vchr3051 layer function derivative error sum comma input gradient term things descent output parameters inputs parameter unit respect w. point questions From Andrew Fagg 0 likes 44 plays 0